Marché mondial de l’intelligence artificielle – Tendances et prévisions du secteur jusqu’en 2031

Analyse et taille du marché de l'intelligence artificielle

Le marché mondial de l’intelligence artificielle connaît une croissance rapide, tirée par l’adoption croissante des technologies d’IA dans divers secteurs. Des facteurs tels que la prolifération du big data, les progrès de la puissance de calcul et la demande croissante d’automatisation et d’analyse prédictive alimentent l’expansion du marché. L’IA est de plus en plus intégrée aux processus commerciaux pour améliorer l’efficacité, améliorer la prise de décision et stimuler l’innovation. Le développement d’algorithmes d’IA et la disponibilité de plateformes et d’outils d’IA ont abaissé la barrière à l’entrée pour les entreprises qui cherchent à tirer parti de l’IA.

Français La taille du marché mondial de l'intelligence artificielle a été évaluée à 92,33 milliards USD en 2023 et devrait atteindre 590,29 milliards USD d'ici 2031, avec un TCAC de 26,1 % au cours de la période de prévision de 2024 à 2031. En plus des informations sur le marché telles que la valeur du marché, le taux de croissance, les segments de marché, la couverture géographique, les acteurs du marché et le scénario du marché, le rapport de marché organisé par l'équipe de recherche sur le marché de Data Bridge comprend une analyse approfondie des experts, une analyse des importations/exportations, une analyse des prix, une analyse de la consommation de production et une analyse du pilon.

Portée du rapport et segmentation du marché       

Définition du marché

L'intelligence artificielle désigne la simulation des processus d'intelligence humaine par des machines, en particulier des systèmes informatiques. Ces processus comprennent l'apprentissage (l'acquisition d'informations et de règles d'utilisation de ces informations), le raisonnement (l'utilisation de règles pour parvenir à des conclusions approximatives ou définitives) et l'autocorrection. L'IA englobe divers sous-domaines, tels que l'apprentissage automatique, le traitement du langage naturel, la vision par ordinateur et la robotique, entre autres. L'IA vise à créer des machines intelligentes capables de percevoir leur environnement, d'apprendre de leurs expériences et de prendre des décisions ou de résoudre des problèmes de manière autonome, à l'instar de l'intelligence humaine.    

Dynamique du marché de l'intelligence artificielle

Conducteurs

• Big Data et IoT

La prolifération du big data et de l’Internet des objets (IoT) génère de vastes quantités de données qui peuvent être exploitées par les systèmes d’IA pour générer des informations et améliorer la prise de décision. L’intégration de l’IA à l’analyse du big data permet aux organisations d’extraire des informations précieuses à partir d’ensembles de données volumineux et complexes, ce qui améliore l’efficacité opérationnelle et la prise de décision éclairée. Dans des secteurs tels que la santé, la vente au détail et la fabrication, l’analyse basée sur l’IA peut aider à prédire les tendances, à optimiser les chaînes d’approvisionnement et à améliorer l’expérience client. La combinaison du big data et de l’IoT avec l’IA révolutionne divers secteurs, favorisant l’adoption de technologies d’IA pour exploiter la puissance des données à des fins stratégiques.      

• Demande croissante d'automatisation

The increasing demand for automation across industries is a key driver for the adoption of AI technologies. Businesses are increasingly looking to streamline processes, reduce costs, and improve productivity through automation. AI-powered automation technologies, such as robotic process automation (RPA) and intelligent process automation (IPA), are being deployed to automate repetitive tasks, improve operational efficiency, and enhance customer service. Industries such as manufacturing, finance, and healthcare are leveraging AI to automate complex processes, such as predictive maintenance, fraud detection, and patient diagnosis. As the demand for automation continues to rise, the adoption of AI technologies is expected to grow, driving market expansion.

Opportunities

• Industry-specific Solutions 

The development of industry-specific AI solutions tailored to the unique requirements of sectors like healthcare, finance, and manufacturing can address specific challenges faced by each industry, offering more effective and efficient outcomes.    AI algorithms in healthcare can help in early disease detection and personalized treatment planning, while in finance, they can enhance fraud detection and risk management. Similarly, in manufacturing, AI can optimize production processes and improve quality control, leading to increased productivity and cost savings. As industries continue to recognize the value of AI in addressing their specific needs, the demand for industry-specific solutions is expected to rise, and present a significant opportunity for market growth.    

• AI-powered Healthcare   

AI-powered solutions can analyze vast amounts of medical data, such as patient records, genetic information, and medical images, to assist healthcare providers in making more accurate diagnoses and treatment decisions. This can lead to improved healthcare outcomes, reduced costs, and enhanced patient experiences. Furthermore, AI can accelerate the drug discovery process by predicting the efficacy and potential side effects of new drugs, helping pharmaceutical companies bring new treatments to market faster.  The use of AI technologies in healthcare, including disease diagnosis, personalized treatment planning, and drug discovery, presents a significant growth opportunity.

Restraints/Challenges

• Data Privacy and Security Concerns   

AI technologies, especially in industries handling sensitive information such as healthcare and finance, must adhere to stringent regulations and standards to protect confidential data. AI systems often require access to vast amounts of data to function effectively, raising concerns about the security and privacy of this data. Unauthorized access, data breaches, and misuse of data are some of the risks associated with AI implementation. Concerns regarding data privacy and security pose a significant barrier to the widespread adoption of AI technologies.       

• Lack of Skilled Professionals  

The demand for AI talent far exceeds the available supply, leading to increased competition for qualified professionals and driving up costs for businesses. The complexity of AI technologies requires specialized skills in areas such as machine learning, data science, and programming. Additionally, the rapid pace of technological advancement necessitates continuous learning and upskilling, further exacerbating the skills gap. The shortage of skilled professionals in AI and related fields is a significant challenge hindering the widespread implementation of AI technologies.

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Recent Developments

• In March 2024, Microsoft and NVIDIA announced a collaboration aimed at advancing AI in the healthcare and life sciences industry. This partnership combines the strengths of both companies, with Microsoft Azure providing cloud infrastructure and advanced computing capabilities, and NVIDIA contributing its DGX Cloud and Clara suite. The objective is to accelerate innovation in areas such as clinical research and drug discovery, ultimately improving patient care
• In March 2024, NVIDIA introduced new Generative AI Microservices designed to drive advancements in medical technology (MedTech), drug discovery, and digital health. These microservices utilize artificial intelligence (AI) to potentially enhance healthcare technology and outcomes
• In January 2024, Google revealed its latest AI model, Lumiere. This text-to-video diffusion model is capable of generating short video clips based on text descriptions. It also can animate still images and apply specific styles to video generation

Artificial Intelligence Market Scope

The market is segmented on the basis of offering, type, technology, function, deployment mode, organization size, and end-user industry. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Offering

• Hardware
• Software
• Services

Technology

• Machine Learning
• Natural Language Processing
• Context-Aware Computing
• Computer Vision

Type

• Narrow / Weak AI
• General / Strong AI

Function

• Marketing and Sales
• Security
• Finance
• Law
• Human Resource
• Others

Deployment Mode

• Cloud
• On-premises

Organization Size

• Large enterprises
• Small and medium-sized enterprises

End-User Industry

• Healthcare
• Manufacturing
• Automotive
• Agriculture
• Retail
• Security
• Human Resources
• Marketing
• Law Fintech
• Construction
• Defense
• Aerospace
• Supply Chain
• Building Automation
• Consumer
• Food and Beverage
• Gaming
• Media and Entertainment
• Telecommunication
• Oil and Gas

Artificial Intelligence Market Regional Analysis/Insights

The market is analyzed and market size insights and trends are provided by country, offering, type, technology, function, deployment mode, organization size, and end-user industry as referenced above.

The countries covered in the market report are U.S., Canada, Mexico, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, rest of Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, rest of Asia-Pacific, Saudi Arabia, U.A.E., South Africa, Egypt, Israel, rest of Middle East and Africa, Brazil, Argentina, and rest of South America.

North America is expected to dominate the market due to favorable government initiatives aimed at promoting the widespread adoption of AI technologies across various industries. These initiatives include funding for AI research and development, regulatory frameworks that support AI innovation, and strategic partnerships between government agencies and private sector companies.       

 Asia-Pacific is expected to show significant growth due to increasing adoption of Natural Language Processing (NLP) technologies is revolutionizing industries such as customer service, healthcare, and finance in the region. Furthermore, the booming e-commerce sector is fueling the demand for AI-powered solutions to enhance customer experience, optimize logistics, and personalize marketing efforts.

The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Competitive Landscape and Artificial Intelligence Market Share Analysis

Le paysage concurrentiel du marché fournit des détails par concurrent. Les détails inclus sont la présentation de l'entreprise, les finances de l'entreprise, les revenus générés, le potentiel du marché, les investissements dans la recherche et le développement, les nouvelles initiatives du marché, la présence mondiale, les sites et installations de production, les capacités de production, les forces et les faiblesses de l'entreprise, le lancement du produit, la largeur et l'étendue du produit, la domination des applications. Les points de données ci-dessus fournis ne concernent que l'orientation des entreprises par rapport au marché.

Certains des principaux acteurs opérant sur le marché sont :

• Advanced Micro Devices, Inc. (États-Unis)
• Aicure, LLC (États-Unis)
• Arm, Ltd. (Royaume-Uni)
• Atomwise, Inc. (États-Unis)
• AYASDI AI LLC (États-Unis)
• Baidu Inc. (Chine)
• ClariFI, Inc. (États-Unis)
• Cyrcadia Health (États-Unis)
• Enlitic, Inc. (États-Unis)
• H2O (États-Unis)
• Google LLC (États-Unis)
• Hyperverge Inc. (Inde)
• IBM (États-Unis)
• Intel Corporation (États-Unis)
• IRIS AI AS (Norvège)
• Lifegraph Ltd. (Royaume-Uni)
• Microsoft (États-Unis)
• Nvidia Corporation (États-Unis)
• Sensley Inc. (États-Unis)
• Zebra Medical Vision, Inc. (Israël)

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